code: def test_decode_embeddings_file_uri(self):
      first_level_paths = [
          "path/to/embeddings.gz",
          "unicode/path/òàè+ù.vec",
          "http://www.embeddings.com/path/to/embeddings.gz",
          "http://www.embeddings.com/àèìòù?query=blabla.zip",
      ]
      second_level_paths = [
          "path/to/glove.27B.300d.vec",
          "òàè+ù.vec",
          "crawl-300d-2M.vec",
      ]
  
      for simple_path in first_level_paths:
          assert parse_embeddings_file_uri(simple_path) == (
              simple_path,
              None,
          )
  
      for path1, path2 in zip(first_level_paths, second_level_paths):
          uri = format_embeddings_file_uri(path1, path2)
          decoded = parse_embeddings_file_uri(uri)
          assert decoded == (path1, path2)
  
imports: import gzip
  import warnings
  import numpy
  import pytest
  import torch
  from allennlp.common import Params
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.data import Vocabulary
  from allennlp.modules.token_embedders.embedding import _read_pretrained_embeddings_file, Embedding, EmbeddingsTextFile, format_embeddings_file_uri, parse_embeddings_file_uri
label_desc: Use image node_id 10 for calling the TestEmbedding obj's underlying member method code with example usage: obj.test_decode_embeddings_file_uri() without return types